Top Senior Level Data Science Jobs

The Scientist I in Analytical Development will perform routine analytical tests and develop analytical methods for AAV-based gene therapy products. Responsibilities include method development, assay validation, data analysis, and collaboration with cross-functional teams. The candidate will also draft technical documents and present findings at meetings.

The Data Science Senior Manager will lead the Lingo Data Science team, focusing on building next-generation Biowearables. Responsibilities include developing machine learning models, analyzing biological data, discovering trends in large data sets, conducting advanced statistical analyses, and designing signal processing algorithms.

The Environmental Scientist/Consultant will work in a multidisciplinary team to address regulatory compliance and sustainability needs for Dow’s products. Responsibilities include assessing environmental hazards, leading research projects, collaborating with stakeholders, and presenting scientific findings. A focus on plastics and microplastics is preferred.

As a Scientist in Human-Computer Interaction, you will develop innovative tools and interfaces to enhance user interaction with technology. Your role involves researching user needs, creating prototypes, directing technical work, and collaborating across disciplines. Your expertise will guide the team in exploring areas like augmented reality, human-robot interaction, and decision-support systems while contributing to technical proposals and publications.

As an AI Research Scientist focusing on engineering and operations, you will bridge theoretical research and practical implementation of AI technologies. Your work will involve developing machine learning models, managing server infrastructure, writing code for AI applications, and collaborating with cross-functional teams to generate actionable insights from complex data sets.

The Senior Manager of Data Science will lead the data-science team to develop a strategic roadmap, implement advanced analytics, and oversee MLOps. Responsibilities include managing team priorities and resources, collaborating with cross-functional teams, and providing insights based on data analyses. A strong background in consumer marketing analytics, leadership experience, and technical skills in SQL, Python, or R are required.

As a Staff Data Scientist at Curinos, you will leverage machine learning and data science to enhance banking customer engagement and optimize marketing strategies. You'll work with cross-functional teams to develop algorithms, improve models, and implement best practices, influencing the direction of data-driven decision-making within the company.